Volume 15 • Issue 1 • PP: 175-184 • 2025
New Keys for Cloud Resource Provisioning Optimization Method in Multi-Tier Style
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Resource provisioning is regarded as a crucial technology in the cloud-computing environment. Nonetheless, the primary challenge associated with the cloud involves ensuring resource availability while improving throughput, balancing loads, and optimizing execution time. There are two types of provisioning methodologies in a cloud environment: single-tier and multi-tier. This paper presents a novel method that combines hybrid metaheuristic optimization techniques, specifically Ant Colony Optimization (ACO) and Firefly Algorithm (FA), referred to as ACOF. This study presented an implementation of dynamic resource provisioning in a multi-tier cloud architecture. The results obtained from the proposed method demonstrate an enhancement in resource provisioning compared to other studies. Indeed, the ACOF algorithm demonstrates a reduced execution time for resource provisioning compared to alternative algorithms. Furthermore, ACOF algorithms have the potential to decrease implementation time by up to 13.2% in comparison to the execution time of alternative methods.
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References
[1] H. Aiman and El-Maleh, "Binary particle swarm optimization (BPSO) based state assignment for area minimization of sequential circuits," Applied Soft Computing, vol. 13, pp. 4832–4840, 2013.
[2] N. Ali Saoucha et al., "On Applying Firefly Algorithm for Cognitive Radio Networks," in Proceedings of IEEE, 2014; X. Cheng et al., "Cognitive Radio Spectrum Assignment Based on Artificial Bee Colony Algorithm," in Proceedings of IEEE, 2011.
[3] M. H. Eawna, S. Hamdy, and E. -S. M. El-Horbaty, "New trends of resource provisioning in multi-tier Cloud computing," in 2015 IEEE Seventh International Conference on Intelligent Computing and Information Systems (ICICIS), Cairo, Egypt, 2015, pp. 224-230.
[4] J. Loganathan and S. Janakiraman, "An overview about major research problems in cooperative cognitive radio and its feasible solutions," International Journal of Control Theory and Applications, vol. 9, no. 19, pp. 9251–9265, 2016.
[5] M. Freaj and A. Sleit, "Hybrid Approach for Resource Provisioning in Cloud Computing," Journal of Information Systems and Communication Technology (JISCT), vol. 6, no. 1, pp. 546–561, Jul. 2016.
[6] K. Sumalatha, M. N. Sinduri, and C. BhanuPrakash, "A Novel Method Of Directly Auditing Integrity On Encrypted Data," International Research Journal of Engineering and Technology (IRJET), vol. 3, no. 1, pp. 1–5, Jan. 2016.
[7] N. Grozev and R. Buyya, "Multi-Cloud Provisioning and Load Distribution for Three-Tier Applications," ACM Transactions on Autonomous and Adaptive Systems, vol. 9, no. 3, Article 13, Oct. 2014.
[8] M. H. Eawna, S. Hamdy, and E. -S. M. El-Horbaty, "Hybrid Algorithm for Resource Provisioning of Multi-tier Cloud Computing," Procedia Computer Science, vol. 65, pp. 682–690, 2015.
[9] K. Chakraborty, A. Parashar, P. Bhambu, D. P. Tripathi, P. Patil, and G. K. Srivastav, "Multi-Level Cloud Datacenter Security Using Efficient Hybrid Algorithm," Engineering Proceedings, vol. 59, p. 50, 2023.
[10] S. Kumar, U. Gupta, A. K. Singh, and A. K. Singh, "Artificial Intelligence: Revolutionizing Cyber Security in the Digital Era," Journal of Computational Mechanics and Management, vol. 2, pp. 31–42, 2023.
[11] R. Manikandan et al., "Adaptive cloud orchestration resource selection using rough set theory," Journal of Interdisciplinary Mathematics, vol. 26, pp. 311–320, 2023.
[12] A. Tiwari and R. Garg, "Adaptive Ontology-Based IoT Resource Provisioning in Computing Systems," International Journal of Semantic Web and Information Systems (IJSWIS), vol. 18, pp. 1–18, 2022.
[13] C. T. Dora Pravina, M. U. Buradkar, M. K. Jamal, A. Tiwari, U. Mamodiya, and D. Goyal, "A Sustainable and Secure Cloud resource provisioning system in Industrial Internet of Things (IIoT) based on Image Encryption," in Proceedings of the 4th International Conference on Information Management & Machine Intelligence, Jaipur, India, Dec. 2022, pp. 1–5.
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